The weather condition analysis have proven to be an useful tool when applied specifically to sports. These conditions act as a differential in strategy and training plan, especially for outdoor sports. The main objective of this study is to develop weather forecast and thermal comfort evaluation applied to sports, and it is expected that the obtained results could be used for developing products and weather service to the 2016 Olympic Games in Rio de Janeiro City. The weather forecast applied to sport events showed to be efficient during the Rio de Janeiro City Marathon, especially due to the high spatial resolution. It was concluded that the WRF (Weather Research and Forecasting) model provides, in general, more representative simulations up to 36 hours in advance, an 18 hours forecast is even better, describing efficiently the prevailing synoptic situation. The assessment of the weather conditions and thermal comfort at specific points of the marathon route showed that there are significant differences among the marathon stages, and that there is a relationship between more thermally comfortable (uncomfortable) situation and the best (worst) timing in Rio de Janeiro City Marathon.
Numerical weather prediction; thermal comfort; sport performance
